Moore's Law Momentum with CSAIL's Saman Amarasinghe

In this episode

“If we want to keep the Moore’s Law momentum going in computing, we have to do something different,” says CSAIL Professor Saman Amarasinghe, whose work with compilers is making them faster, more reliable, and more efficient. He discusses using new technologies like machine learning and modern algorithms and solvers to optimize code and get the performance needed to keep up with the rapid changes happening in industry.

Read more about Saman Amarasinghe at: Alliances Researcher Spotlight.


Please view the transcript for the podcast here.

About the speakers

Principal Investigator, MIT CSAIL
Professor, MIT EECS

Saman Amarasinghe received a bachelor’s degree in electrical engineering and computer science from Cornell University (1988), a master’s degree and PhD in electrical engineering from Stanford University (1990). Then in 1997, Amarasinghe joined the MIT faculty as an assistant professor and now leads the Commit complier research group at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He is the world leader in the field of high-performance domain-specific languages. The research focus concentrates on programming languages and compliers that maximize application performance on modern computing platforms. Some of Amarasinghe’s developments include: the Halide, TACO, Simit, StreamIT, StreamJIT, PetaBricks, MILK, Cimple, and GraphIt.

Industry Impact
Program languages and software engineering improve the performance and reliability of computer programs and systems that allow companies around the globe to connect, collaborate, and prosper. Logical and experiential fundamentals help to simplify software development, analysis, and maintenance which are crucial in ensuring the integrity of software running in the cloud. The tools, techniques, and language are shared with the global computing community to foster the production of secure, reliable, and robust computer programs and systems. With that said, programs and software’s prove to be pioneering research and serve as an opportunity to impact the rapid evolution of technology through many companies.